Accuracy of Internet-Based Patient Self-Report of Postdischarge Health Care Utilization and Complications Following Orthopedic Procedures: Observational Cohort Study.

BACKGROUND: The accuracy of patient self-report of health care utilization and complications has yet to be determined. If patients are accurate and engaged self-reporters, collecting this information in a manner that is temporally proximate to the health care utilization events themselves may prove valuable to health care organizations undertaking quality improvement initiatives for which such data are often unavailable. OBJECTIVE: The objective of this study was to measure the accuracy of patient self-report of health care utilization and complications in the 90 days following orthopedic procedures using an automated digital patient engagement platform. METHODS: We conducted a multicenter real-world observational cohort study across 10 orthopedic practices in California and Nevada. A total of 371 Anthem members with claims data meeting inclusion criteria who had undergone orthopedic procedures between March 1, 2015, and July 1, 2016, at participating practices already routinely using an automated digital patient engagement platform for asynchronous remote guidance and telemonitoring were sent surveys through the platform (in addition to the other materials being provided to them through the platform) regarding 90-day postencounter health care utilization and complications. Their self-reports to structured survey questions of health care utilization and complications were compared to claims data as a reference. RESULTS: The mean age of the 371 survey recipients was 56.5 (SD 15.7) years, 48.8% (181/371) of whom were female; 285 individuals who responded to 1 or more survey questions had a mean age of 56.9 (SD 15.4) years and a 49.5% (141/285) female distribution. There were no significant differences in demographics or event prevalence rates between responders and nonresponders. With an overall survey completion rate of 76.8% (285/371), patients were found to have accuracy of self-report characterized by a kappa of 0.80 and agreement of 0.99 and a kappa of 1.00 and agreement of 1.00 for 90-day hospital admissions and pulmonary embolism, respectively. Accuracy of self-report of 90-day emergency room/urgent care visits and of surgical site infection were characterized by a kappa of 0.45 and agreement of 0.96 and a kappa of 0.53 and agreement of 0.97, respectively. Accuracy for other complications such as deep vein thrombosis, hemorrhage, severe constipation, and fracture/dislocation was lower, influenced by low event prevalence rates within our sample. CONCLUSIONS: In this multicenter observational cohort study using an automated internet-based digital patient engagement platform, we found that patients were most accurate self-reporters of 90-day hospital admissions and pulmonary embolism, followed by 90-day surgical site infection and emergency room/urgent care visits. They were less accurate for deep vein thrombosis and least accurate for hemorrhage, severe constipation, and fracture/dislocation. A total of 76.8% (285/371) of patients completed surveys without the need for clinical staff to collect responses, suggesting the acceptability to patients of internet-based survey dissemination from and collection by clinical teams. While our methods enabled detection of events outside of index institutions, assessment of accuracy of self-report for presence and absence of events and nonresponse bias analysis, low event prevalence rates, particularly for several of the complications, limit the conclusions that may be drawn for some of the findings. Nevertheless, this investigation suggests the potential that engaging patients in self-report through such survey modalities may offer for the timely and accurate measurement of matters germane to health care organizations engaged in quality improvement efforts post discharge.

Effectiveness of an Automated Digital Remote Guidance and Telemonitoring Platform on Costs, Readmissions, and Complications After Hip and Knee Arthroplasties.

BACKGROUND: The impact of a new class of automated digital patient engagement (DPE) platforms on potentially avoidable costs, hospital admissions, and complications after discharge following hip and knee arthroplasties has not been established. METHODS: We conducted a multicenter observational cohort study comparing claims data for potentially avoidable costs, hospital admissions, and complications for 90 days after discharge following hip and knee arthroplasties at 10 practice sites in CA and NV. One hundred eighty-six patients, enrolled between 2014 and 2016 on an automated DPE platform receiving guidance and remote monitoring perioperatively, were compared with 372 patients who underwent the same procedures from the same physicians within 3 years immediately preceding platform implementation. The primary end point was the proportion of patients with $0.00 in 90-day target costs because of potentially avoidable utilization within the platform's influence. Secondary end points included rates of potentially avoidable 90-day hospital admissions and composite complications. RESULTS: Ninety-three percent and 84.7% of the study and baseline cohorts, respectively, had $0.00 in target costs (P = .004), with a mean savings of $656.52/patient (P = .006). The baseline and study cohorts had 3.0% and 1.6% 90-day hospital admission rates (relative risk 0.545; 0.154, 1.931, P = .40), and 15.3% and 7.0% composite complication rates, respectively (relative risk 0.456; 0.256, 0.812, P = .004). CONCLUSION: Patients enrolled on an automated DPE platform after hip and knee arthroplasties demonstrated a significant reduction in potentially avoidable 90-day costs, a 45.4% nonsignificant relative reduction in 90-day hospital admissions, and a 54.4% significant relative reduction in 90-day complications.

Early Trends Among Seven Recommendations From the Choosing Wisely Campaign.

IMPORTANCE: The Choosing Wisely campaign consists of more than 70 lists produced by specialty societies of medical practices or procedures of minimal clinical benefit to patients in most situations, with recommendations regarding judicious use. OBJECTIVE: To quantify the frequency and trends of some of the earliest Choosing Wisely recommendations using nationwide commercial health plan population-level data. DESIGN, SETTING, AND PARTICIPANTS: Retrospective analysis of claims data for members of Anthem-affiliated commercial health plans. The low-value services selected were (1) imaging tests for uncomplicated headache; (2) cardiac imaging without history of cardiac conditions; (3) low back pain imaging without red-flag conditions; (4) preoperative chest x-rays with unremarkable history and physical examination results; (5) human papillomavirus testing for women younger than 30 years; (6) use of antibiotics for acute sinusitis; and (7) use of prescription nonsteroidal anti-inflammatory drugs (NSAIDs) for members with hypertension, heart failure, or chronic kidney disease. MAIN OUTCOMES AND MEASURES: The number of members with medical and/or pharmacy claims for the included low-value services was assessed quarterly over a 2- to 3-year span through 2013. Trend changes in recommendations were evaluated across all quarters using Poisson regression with denominators as offsets. RESULTS: Two services had declines: Use of imaging for headache decreased from 14.9% to 13.4% (trend estimate, 0.99 [95% CI, 0.98-0.99]; P < .001), and cardiac imaging decreased from 10.8% to 9.7% (trend estimate, 0.99 [95% CI, 0.99-0.99]; P < .001). Two services had increases: Use of NSAIDs in select conditions increased from 14.4% to 16.2% (trend estimate, 1.02 [95% CI, 1.01-1.02]; P < .001), and human papillomavirus testing in younger women increased from 4.8% to 6.0% (trend estimate, 1.01 [95% CI, 1.00-1.01]; P < .001). Use of antibiotics for sinusitis remained stable (0.8% decrease from 84.5% to 83.7%; trend estimate, 1.00 [95% CI, 1.00-1.00]; P = .16). Use of preoperative chest x-rays (0.2% decrease, ending utilization 91.5%; trend estimate, 1.00 [95% CI, 1.00-1.00]; P = .70) and imaging for low back pain (53.7% utilization throughout study; P = .71) remained high with no statistically significant changes. CONCLUSIONS AND RELEVANCE: For this population-level analysis of 7 low-value services analyzed, changes were modest but showed a desirable decrease for 2 recommendations (imaging for headache, cardiac imaging for low-risk patients). The effect sizes were marginal, however, and although 4 of the 7 lists had statistically significant changes-unsurprising given the large sample size-the clinical significance is uncertain. These results suggest that additional interventions are necessary for wider implementation of Choosing Wisely recommendations.

Prevalence and patterns of concomitant use of selective serotonin reuptake inhibitors and other antidepressants in a high-cost polypharmacy cohort.

BACKGROUND: Concomitant antidepressant therapy for patients who do not respond to selective serotonin reuptake inhibitors (SSRIs) may be appropriate under close medical supervision. However, little is known about the prevalence or patterns of concurrent antidepressant therapy in a typical large health maintenance organization. OBJECTIVE: The purpose of this study was to determine the prevalence of concomitant SSRI-antidepressant therapy and to assess the relationship between concomitant SSRI therapy, patient demographic characteristics, and the use of multiple prescribers and pharmacies. METHODS: This was a retrospective analysis of administrative prescription and medical claims data from January 1998 through September 1999. Data were obtained on beneficiaries who had >15 prescriptions dispensed in either of the first 2 quarters of 1999 and/or patients who accrued >$1,000 in prescription costs in either or both of the quarters. Patients were defined as undergoing concomitant SSRI therapy if they had received > or = 14 days of concomitant treatment with 2 SSRIs, an SSRI and tricyclic antidepressant, an SSRI and benzodiazepine, or an SSRI and miscellaneous antidepressant. Contingency analysis and logistic regression were used to identify factors associated with concomitant SSRI therapy. RESULTS: The relative risk for concomitant SSRI-SSRI therapy for patients with multiple prescribers versus a single prescriber was 2.32; the relative risk for patients receiving prescriptions from multiple pharmacies versus a single pharmacy was 2.97. Female patients were 19.8% more likely than male patients to receive concomitant SSRI therapy. Use of multiple prescribers increased the odds for concomitant SSRI therapy by >3.0 across the 4 therapeutic combinations. Use of multiple pharmacies increased the odds for concomitant SSRI-SSRI therapy by 5.42. CONCLUSIONS: Prescription of concomitant SSRI therapy was strongly associated with changes in strength of dosage and products and with use of multiple prescribers and pharmacies.